Abstract: A device to extract a unique recognition vector from a user has a sensor generating an electrical signal responsive to one of: muscle, skin or brain activity of the user. A spectral conversion mechanism converts the electrical signal into a spectral image. A machine learning device converts the spectral image into a recognition vector associated with the user.

Abstract: An apparatus and method for inspecting an object by optical triangulation, where the signal of interest in a captured image corresponds to an interaction between a light beam and an environment surrounding the object rather than between a light beam and the object itself. The surrounding environment may be configured to interact in a manner that is detectable by filling it with a flowable scattering medium, e.g. a gas, mist or vapour comprising a suspension of fine particles in air. Light that is scattered by the flowable scattering medium is visible in a captured image. Where the flowable scattering medium is not present, e.g. because the object blocks it, the scattered signal is less. A boundary of a scattered signal region may thus provide information about the location of an object.

Abstract: A device, system, and method is provided for training a new neural network to mimic a target neural network without access to the target neural network or its original training dataset. The target neural network and the new neural network may be probed with input data to generate corresponding target and new output data. Input data may be detected that generate a maximum or above threshold difference between the corresponding target and new output data. A divergent probe training dataset may be generated comprising the input data that generate the maximum or above threshold difference and the corresponding target output data. The new neural network may be trained using the divergent probe training dataset to generate the target output data. The new neural network may be iteratively trained using an updated divergent probe training dataset dynamically adjusted as the new neural network changes during training.

Abstract: Method, apparatuses, and systems are described to display image data to a sub-pixel within a micro-LED (mLED) display. A sub-pixel image data value is stored at the sub-pixel. The sub-pixel is turned to an ON state. A shared row counter value is provided to the sub-pixel. The shared row counter value and the sub-pixel image data value are compared at the sub-pixel. The sub-pixel is turned to an OFF state if the shared row counter value is equal to or greater than the sub-pixel image data value.

Abstract: Disclosed are methods and devices for analyzing the 3D spatial and temporal nucleic acid secondary, tertiary and quaternary structures with a fluorescent interrogation system.

Abstract: Disclosed are Self-Gelling materials and structures or materials or structures having one or more self-gelling components that overcome existing gel limitations due to hydrogel localization for medical applications by providing, for example, 1) microstructurally, or physically, anchored characteristics to help localize the gel, and the overall printed, or otherwise formed structure, giving structural form to the gel that allows the gel to be localized within the body, and even sutured in place, and mitigates gel migration and extends its residence time; 2) to provide an underlying 3D printed structure to help contain and support the gel after implantation; and more. Self-Gelling 3D printed structures may be further processed via milling to yield deconstructed scaffold micro-granules, with the composition and nano-/micro-structure of the original larger structure.

Abstract: Heat energy storage systems described herein can be used for long-term storage of large amounts of thermal energy. In some cases, such systems receive electrical energy from renewable energy sources such as solar or wind. Using novel techniques, the heat energy storage systems covert the electrical energy to thermal energy that is stored in hot materials such as molten silicon or any other material that can store large amounts of heat. The heat energy storage systems incorporate extremely good thermal insulation of the thermal energy storage tank that contains the hot materials. The systems are also configured to release thermal energy in an efficient manner to one or more electricity-producing steam turbines and/or to one or more industrial heating systems of manufacturing plants, using novel heat exchanger systems and techniques described herein. The energy storage systems described herein have higher overall real-world efficiencies than energy storage systems currently available.

Abstract: The disclosure relates to structures of, and methods for forming electromagnetic band gap (EBG) element. Specifically, the disclosure is directed to methods for additively manufacturing electronic mushroom-type EBG elements having a periodic cell structure enabling a reduced footprint and increased band gap range for a very wide range of frequencies, for example between 500 MHz to about 30 GHz, by altering both the EBG structure's superstrate as well as the ground plane.

Abstract: Systems and methods of predicting a neuropsychological state of a user, including: monitoring the user, by at least one camera coupled to a processor, wherein the processor is to determine user characteristics based on input from the at least one camera, correcting, by the processor, at least one of the determined user characteristics, wherein the correction is applied to at least one of movement data and lighting data, applying a machine learning (ML) algorithm to predict a neuropsychological state of the user, wherein the ML algorithm is trained on cognitive reactions and of the user, and adjusting output of the user's media based on the predicted neuropsychological state of the user.

Abstract: Heat energy storage systems described in this disclosure can be used for long-term storage of large amounts of thermal energy. In some cases, such systems receive electrical energy from renewable energy sources such as solar panels or wind turbines. Using novel techniques, the heat energy storage systems covert the electrical energy to thermal energy that is stored in hot materials such as molten silicon, molten salts, or any other material that can store large amounts of heat. The heat energy storage systems incorporate extremely good thermal insulation of the thermal energy storage tank that contains the hot materials. The systems are also configured to release thermal energy in an efficient manner to an electricity-producing steam turbine using novel heat exchanger systems and techniques that are described. The energy storage systems described herein have a higher overall real-world efficiency than energy storage systems currently available.

Abstract: A device, system, and method is provided to mimic a pre-trained target model without access to the pre-trained target model or its original training dataset. A set of random or semi-random input data may be sent to randomly probe the pre-trained target model at a remote device. A set of corresponding output data may be received from the remote device that is generated by applying the pre-trained target model to the set of random or semi-random input data. A random probe training dataset may be generated comprising the set of random or semi-random input data and corresponding output data generated by randomly probing the pre-trained target model. A new model may be trained with the random probe training dataset so that the new model generates substantially the same corresponding output data in response to said input data to mimic the pre-trained target model.

Abstract: The invention relates to an apparatus (1) and a method for area mapping, wherein the apparatus (1) for area mapping includes a framework having a main camera (2) and/or a main sensor attached to the framework, and at least two auxiliary cameras (3) and/or auxiliary sensors attached to the framework, wherein the main camera (2) and/or the main sensor as well as the at least two auxiliary cameras (3) and/or the at least two auxiliary sensors have a defined camera footprint (8, 9) on the ground and a defined ground image resolution, wherein the camera footprint (8) of the auxiliary cameras (3) and/or auxiliary sensors on the ground is smaller than the camera footprint (9) of the main camera (2) and/or of the main sensor on the ground and lies at least partially within same, and the ground image resolution of the auxiliary cameras (3) and/or auxiliary sensors is greater than the ground image resolution of the main camera (2) and/or of the main sensor, and the auxiliary cameras (3) and/or auxiliary sensors are ali

Abstract: A method for creating a 3D model of a scene from a single frame of data points representing image and/or depth data is provided, comprising the steps of: segmenting the data points into a plurality of groups of data points, each group of data points having a high probability of representing a single object; determining, for each group of data points, which method from the group of network completion methods, object assignment methods is suitable for creating a 3D half model from the group of data points; creating a 3D half model from the group of data points according to the determined method, and merging the 3D half models into an overall 3D model.

Abstract: A watch interaction simulation apparatus for carrying out interaction with a watch interaction member for a watch includes a sensor device adapted to be coupled with the watch interaction member. The sensor device is operable to sense an interaction with the watch interaction member. The apparatus includes an actuator device being coupled to the watch interaction member, an actuator control device for controlling the actuator device, and a sensor information computing device being operatively coupled to the sensor device.

Abstract: An efficient technique of machine learning is provided for training a plurality of convolutional neural networks (CNNs) with increased speed and accuracy using a genetic evolutionary model. A plurality of artificial chromosomes may be stored representing weights of artificial neuron connections of the plurality of respective CNNs. A plurality of pairs of the chromosomes may be recombined to generate, for each pair, a new chromosome (with a different set of weights than in either chromosome of the pair) by selecting entire filters as inseparable groups of a plurality of weights from each of the pair of chromosomes (e.g., “filter-by-filter” recombination). A plurality of weights of each of the new or original plurality of chromosomes may be mutated by propagating recursive error corrections incrementally throughout the CNN. A small random sampling of weights may optionally be further mutated to zero, random values, or a sum of current and random values.

Abstract: Genome whole chromosome analysis is a critical gold standard method for clinicians to study molecular lesions at single cell level in diseases and cancers. However, they suffer from low-sample-yielding, labor-intensive procedures that require subjective manual involvement of highly trained professionals. Here we disclose new devices, systems, and methods to automate, standardize, and accelerate the digital cytopathological sample and data generation with improved data quality to enable precision medicine and improve clinical practice. This disclosure describes a family of micro-fluidic devices, and accompanying methods for using said devices, to perform cytogenomic analysis on cells, nucleus, vesicles exosomes and their respective chromosomes, chromatins, nucleic acid polymers, subcellular genomic elements and any other dynamic transitional states between these forms.

Abstract: Disclosed are methods for generating physical maps from feature density profiles of a nucleic acid using a constriction device, and associated methods of analyzing said genomic profiles. In addition, disclosed are devices and methods for analyzing secondary, tertiary and quaternary structures on nucleic acids in spatial and temporal context of the 3-D organization of the genome in a constriction or sensor device.

Abstract: Disclosed herein are methods, compositions and systems for the interrogation of macromolecules, more particularly for preparation of isolated single macromolecules for subsequent processing of specific regions of interest within said macromolecule based on an analysis of the molecule's physical map. The disclosure is further related to the controlled segmentation of long nucleic acid parent molecules into smaller child molecules in a targeted manner such that further processing on said children may be performed with the knowledge of their origin within the parent, in a controlled environment enabled by purposefully designed microfluidic devices. Also disclosed is binding of regional specific barcodes along the length of a long nucleic acid molecule such that upon cleavage of said molecule into child molecules, the regional origin of the children can be tracked, in a controlled environment enabled by purposefully designed microfluidic devices.

Abstract: An efficient technique of machine learning is provided for training a plurality of convolutional neural networks (CNNs) with increased speed and accuracy using a genetic evolutionary model. A plurality of artificial chromosomes may be stored representing weights of artificial neuron connections of the plurality of respective CNNs. A plurality of pairs of the chromosomes may be recombined to generate, for each pair, a new chromosome (with a different set of weights than in either chromosome of the pair) by selecting entire filters as inseparable groups of a plurality of weights from each of the pair of chromosomes (e.g., “filter-by-filter” recombination). A plurality of weights of each of the new or original plurality of chromosomes may be mutated by propagating recursive error corrections incrementally throughout the CNN. A small random sampling of weights may optionally be further mutated to zero, random values, or a sum of current and random values.

Abstract: This disclosure describes novel hybrid energy storage systems for providing short-term and long-term storage and delivery of electricity generated by any energy source including renewable energy sources such as solar energy and wind energy. The hybrid energy storage systems described herein have a higher overall real-world efficiency than energy storage systems currently available.